Published at : 28 Jan 2026
Volume : IJtech
Vol 17, No 1 (2026)
DOI : https://doi.org/10.14716/ijtech.v17i1.8194
| Yuta Kurihara | Graduate School of Engineering, Department of Biomedical Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Nakacho Koganei-shi Tokyo-to, 184-0012, Japan |
| Shinta Tsuzuki | Graduate School of Engineering, Department of Biomedical Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Nakacho Koganei-shi Tokyo-to, 184-0012, Japan |
| Takuma Serizawa | Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Nakacho Koganei-shi Tokyo-to, 184-0012, Japan |
| Yosuke Tanaka | Graduate School of Engineering, Department of Biomedical Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Nakacho Koganei-shi Tokyo-to, 184-0012, Japan |
In various fields, bending sensors based on optical fibers have gained significant attention. These include structural health monitoring and shape measurement of medical devices such as catheters. The characteristics of fibers, such as thinness, flexibility, light weight, and immunity to electromagnetic interference, make them suitable for various applications. Among various techniques, fiber Bragg grating (FBG) sensors are widely employed to measure strain through shifts in their reflection spectra, which are proportional to the applied strain. A single FBG can only measure the strain along one direction. In contrast, multicore fibers with Bragg gratings inscribed in multiple cores enable directional bending sensing by comparing the spectral shifts of peripheral cores against the central core. However, it is challenging to simultaneously measure overlapping reflection spectra from multiple cores using a single photodetector. Conventional approaches employ broadband light sources or wavelength-tunable lasers with multiple photodetection units, resulting in complex systems. In this study, we propose a novel method for spectral separation and identification that utilizes incoherent optical frequency domain reflectometry (I-OFDR) and the two-photon absorption (TPA) process of a silicon avalanche photodiode (Si-APD). I-OFDR uses laser light whose intensity is modulated by a chirped signal. The TPA photocurrent enables I-OFDR signal detection without the need for complex electrical circuitry. A key advantage of the proposed system is its fast measurement capability: in our proof-of-concept experiment, the measurement was completed in 25 s, which is significantly shorter than the several minutes typically required by our conventional methods. The system design and preliminary experimental results validate the feasibility and efficiency of the proposed approach.
Bending sensor; Fiber sensor; Incoherent optical frequency domain reflectometry; Two-photon absorption
Allsop,
T., Dubov, M., Martinez, A., Floreani, F., Khrushchev, I., Webb, D. J., &
Bennion, I. (2006). Bending characteristics of fiber long-period gratings with
cladding index modified by femtosecond laser. Journal of Lightwave Technology,
24 (8), 3147–3154. https://doi.org/10.1109/JLT.2006.878037
Barrera,
D., Gasulla, I., & Sales, S. (2015). Multipoint two-dimensional curvature
optical fiber sensor based on a nontwisted homogeneous four-core fiber. Journal
of Lightwave Technology, 33 (12), 2445–2450. https://doi.org/10.1109/JLT.2014.2366556
Ben
Hassen, R., Lemmers, A., & Delchambre, A. (2023). Tri-axial force sensor in
a soft catheter using fiber Bragg gratings for endoscopic submucosal
dissection. IEEE Sensors Journal, 23 (20), 24626–24636. https://doi.org/10.1109/JSEN.2023.3313172
Budnicki,
D., Parola, I., Szostkiewicz, L., Markiewicz, K., Ho ldy ?nski, Z., &
Wojcik, G. (2020). All-Fiber Vector Bending Sensor Based on a Multicore Fiber
With Asymmetric Air Hole Structure. Journal of Lightwave Technology, 38 (23),
6685–6690. https://doi.org/10.1109/JLT.2020.3012769
Donko,
A., Beresna, M., Jung, Y., Hayes, J., Richardson, D. J., & Brambilla, G.
(2018). Point-by-point femtosecond laser micro-processing of independent
core-specific fiber Bragg gratings in a multi-core fiber. Optics Express, 26
(2), 2039–2044. https://doi.org/10.1364/OE.26.002039
Flockhart,
G. M. H., MacPherson, W. N., Barton, J. S., Jones, J. D. C., Zhang, L., &
Bennion, I. (2003). Two-axis bend measurement with Bragg gratings in multicore
optical fiber. Optics Letters, 28 (6), 387–389. https://doi.org/10.1364/ol.28.000387
Fujiwara,
E., Hayashi, J. G., da Silva Delfino, T., Jorge, P. A. S., & de Barros
Cordeiro, C. M. (2019). Optical fiber anemometer based on a multi-FBG curvature
sensor. IEEE Sensors Journal, 19 (19), 8727–8732. https://doi.org/10.1109/JSEN.2019.2923046
He,
Z., & Liu, Q. (2021). Optical fiber distributed acoustic sensors: a review.
Journal of Lightwave Technology, 39 (12), 3671–3686. https://doi.org/10.1109/JLT.2021.3059771
Henken, K. R., Dankelman, J., van den Dobbelsteen, J. J.,
Cheng, L. K., & van der Heiden, M. S. (2014). Error analysis of FBG-based shape sensors for medical needle
tracking. IEEE/ASME Transactions on Mechatronics, 19 (5), 1523–1531. https://doi.org/10.1109/TMECH.2013.2287764
Hill,
K. O., & Meltz, G. (1997). Fiber Bragg grating technology fundamentals and
overview. Journal of Lightwave Technology, 15 (8), 1263–1276. https://doi.org/10.1109/50.618320
Hochberg, R. C. (1986). Fiber-optic sensors. IEEE Transactions on Instrumentation and Measurement, IM-35 (4),
447–450. https://doi.org/10.1109/TIM.1986.6499114
Issatayeva, A., Amantayeva, A., Blanc, W., Tosi, D.,
& Molardi, C. (2021). Design
and analysis of a fiber-optic sensing system for shape reconstruction of a
minimally invasive surgical needle. Scientific Reports, 11, 8609. https://doi.org/10.1038/s41598-021-88117-7
Kersey,
A. D., Davis, M. A., Patrick, H. J., LeBlanc, M., Koo, K. P., Askins, C. G.,
Putnam, M. A., & Friebele, E. J. (1997). Fiber grating sensors. Journal of
Lightwave Technology, 15 (8), 1442–1463. https://doi.org/10.1109/50.618377
Khan,
F., Denasi, A., Barrera, D., Madrigal, J., Sales, S., & Misra, S. (2019).
Multi-core optical fibers with Bragg gratings as shape sensor for flexible
medical instruments. IEEE Sensors Journal, 19 (14), 5878–5884. https://doi.org/10.1109/JSEN.2019.2905010
Li, H., Li, D., & Song, G. (2004). Recent applications of fiber optic sensors to health monitoring in
civil engineering. Engineering Structures, 26 (11), 1647–1657. https://doi.org/10.1016/j.engstruct.2004.05.018
Li,
L., He, R., Soares, M. S., Savovi ?c, S., Hu, X., & Marques, C. (2021).
Embedded FBG-Based Sensor for Joint Movement Monitoring. IEEE Sensors Journal,
21 (23), 26793–26798. https://doi.org/10.1109/JSEN.2021.3120995
Lindley,
E., Min, S.-S., Leon-Saval, S., Cvetojevic, N., Lawrence, J., Ellis, S., &
Bland-Hawthorn, J. (2014). Demonstration of uniform multicore fiber Bragg
gratings. Optics Express, 22 (25), 31575–31581. https://doi.org/10.1364/OE.22.031575
Liu,
Y., Li, L., He, R., Soares, M. S., Savovi ?c, S., Hu, X., & Marques, C.
(2019). Quasi-Distributed Directional Bending Sensor Based on Fiber Bragg
Gratings Array in Triangle-Four Core Fiber. IEEE Sensors Journal, 19 (22),
10728–10735. https://doi.org/10.1109/JSEN.2019.2931916
Liu,
Y., Williams, J. A. R., & Bennion, I. (2000). Optical bend sensor based on
measurement of resonance mode splitting of long-period fiber grating. IEEE
Photonics Technology Letters, 12 (5), 531–533. https://doi.org/10.1109/68.841276
Lyu, C., Li, P., Zhang, J., & Du, Y. (2025). Fiber optic sensors in tactile sensing: a review. IEEE Transactions
on Instrumentation and Measurement, 74, 7001816. https://doi.org/10.1109/TIM.2025.3527487
Madani,
N. A., Purnamaningsih, R. W., Poespawati, N. R., Hamidah, M., Rahardjo, S.,
& Wibowo, D. K. (2023). Detection of Low Hydrostatic Pressure Using Fiber
Bragg Grating Sensor. International Journal of Technology, 14 (7), 1527–1536. https://doi.org/10.14716/ijtech.v14i7.6714
Moore,
J. P., & Rogge, M. D. (2012). Shape sensing using multi-core fiber optic
cable and parametric curve solutions. Optics Express, 20 (3), 2967–2973. https://doi.org/10.1364/OE.20.002967
Nor, M. S. M., Khan, A. A., Mohamad, S., &
Thirunavakkarasu, P. (2023). Development
of Optical Fiber Sensor for Water Salinity Detection. International Journal of
Technology, 14 (6), 1247–1255. https://doi.org/10.14716/ijtech.v14i6.6650
Pevec, S., & Donlagi ?c, D. (2019). Multiparameter fiber-optic sensors: a review. Optical Engineering,
58 (7), 072009. https://doi.org/10.1117/1.OE.58.7.072009
Riza,
M. A., Go, Y. I., Harun, S. W., & Maier, R. R. J. (2020). FBG sensors for
environmental and biochemical applications—A review. IEEE Sensors Journal, 20
(14), 7614–7627. https://doi.org/10.1109/JSEN.2020.2982446
Roesthuis, R. J., Kemp, M., van den Dobbelsteen, J. J.,
& Misra, S. (2014). Three-dimensional
needle shape reconstruction using an array of fiber Bragg grating sensors.
IEEE/ASME Transactions on Mechatronics, 19 (4), 1115–1126. https://doi.org/10.1109/TMECH.2013.2269836
Sato, R., Takagi, R., Saito, I., Sonoda, N., Zhaoa, S.,
& Tanaka, Y. (2022). Multipoint
FBG sensing using incoherent OFDR and two-photon absorption process in Si-APD.
Conference on Lasers and Electro-Optics (CLEO) 2022, JW3B.94.
https://doi.org/10.1364/CLEO\ AT.2022.JW3B.94
Sonoda, N., Takagi, R., Saito, I., Abe, T., Zhao, S.,
& Tanaka, Y. (2021). Multipoint
bending measurement using multicore fiber Bragg grating and two-photon
absorption process in Si-APD. IEEE Sensors Journal, 21 (22), 25736–25742. https://doi.org/10.1109/JSEN.2021.3117858
Tanaka, Y., Abe, T., & Miyazawa, H. (2019). Directional curvature sensing using multicore fiber Bragg grating
and two-photon absorption process in Si-APD. Conference on Lasers and Electro-Optics
(CLEO), SF3L.1. https://doi.org/10.1364/CLEO\ SI.2019.SF3L.1
Tanaka,
Y., & Miyazawa, H. (2017). Multipoint fiber Bragg grating sensing using
two-photon absorption process in silicon avalanche photodiode. Journal of
Lightwave Technology, 36 (4), 1032–1038. https://doi.org/10.1109/JLT.2017.2771513
Tanaka,
Y., Nemoto, M., & Yamada, Y. (2017). Displacement measurement using
two-photon absorption process in Si-avalanche photodiode and fiber Bragg
gratings. Journal of Lightwave Technology, 36 (4), 1192–1196. https://doi.org/10.1109/JLT.2017.2760890
Tsuzuki, S., Sato, R., & Tanaka, Y. (2024). Simultaneous measurement of Bragg gratings’ reflection spectra and
their positions in multicore fiber using two photon absorption process in
Si-APD. Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR) 2024, Mo3G–3.
Vilches, S., Zappe, H., & Ataman, C ? . (2023). Multi-point fiber-optic distance sensor for endoscopic
surgery monitoring. IEEE Photonics Technology Letters, 35 (16), 883–886. https://doi.org/10.1109/LPT.2023.3270628
Wang, H., Zhang, R., Chen, W., Liang, X., & Pfeifer,
R. (2016). Shape
detection algorithm for soft manipulator based on fiber bragg gratings.
IEEE/ASME Transactions on Mechatronics, 21 (6), 2977–2982.
Yang, S., Wang, H., Yuan, T., Zhang, X., & Yuan, L.
(2022). Highly
Sensitive Bending Sensor Based on Multicore Optical Fiber With Diagonal Cores
Reflector at the Fiber Tip. Journal of Lightwave Technology, 40 (17),
6030–6036. https://doi.org/10.1109/JLT.2022.3184042
You, J., Shan, M., Sugita, Y., Cheng, Z., Abe, I., & Iiyama, K. (2025). Multipoint fbg sensing system for long-range and long-term structural health monitoring by incoherent fmcw optical ranging system. IEEE Sensors Journal, 25 (12), 21608–21616. https://doi.org/10.1109/JSEN.2025.3564040
Yue, X., Lu, R., Yang, Q., Song, E., Jiang, H., & Ran, Y. (2023). Flexible Wearable Optical Sensor Based on Optical Microfiber Bragg Grating. Journal of Lightwave Technology, 41 (6), 1858–1864. https://doi.org/10.1109/JLT.2022.3227186